#techGeek

Beagleboard / Raspberry Pi : Expanding File System Partition On A microSD  This is a tutorial on how to expand the space used by the file system on an external micro SD card on your BeagleBone Black and Raspberry Pi. This tutorial will work with any of the Linux operating systems mentioned on  Ubuntu On BeagleBoard Black  or  Debian On BeagleBoard Black  that boot from a micro SD card With lots of trial and errors for expanding the file system size of a SD-Card using command line which crashed the file system. I found the alternative way of doing it. Requirements Ubuntu Operating System with Gparted Installed SD Card with Debian 8 for Beagle Bone Black Expanding File System Size using Gparted Insert the SD Card into the Ubuntu Running System Open Terminal and Install Gparted sudo apt-get install gparted On Terminal to open gparted, type gparted command Select the SD Card Right Click on the mount sd card, and click on Resize Resize by dragging to the end.

Raspberry Pi 3 runs Raspian Jessie which is debian operating system that uses linux kernal, when you try to run following command, sudo apt-get update Error messages may come up like ' NO_PUBKEY '. This happens while using the ' a pt-get command line tool' and this error is associated with the tool's update feature. The new feature in the Apt-Get package management tool guarantees the authenticity of the server before updating the Debian OS. That's why the error ' NO_PUBKEY ' pops up. This problem can be solved by keying in the appropriate commands. ISSUES ON - [APT-GET UPDATE] W: GPG error: ftp://ftp.debian.org/ testing Release: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 010908312D230C5F W: There is no public key available for the following key IDs: 010908312D230C5F SOLUTION This is a new feature of the apt-get system that guarantees the authenticity of

IBM Watson has come with an intelligent  Visual Recognition API which can identify the objects on the image, human face according to the training sets has been provided which helps us to build our own custom classes without even worrying about the algorithm. Visual Recognition API API provides developers to develop their own application with preferred programming language. Watson Visual Recognition provides API support for JAVA, Node.js, Python and also REST API access. I will walk you through the Watson Visual Recognition API, How to train the API and create custom classifier? How to identify the human faces using the Visual Recognition API? I have developed an python script for capturing the images of a person using Raspberry Pi and picamera and send the images to the Watson API to process the image to recognize the face and provide the scores with matching class. Get started with clicking any 2 image sets of faces with at least 10 images of each faces, and zi

M2M and IoT or Internet of Things will give rise to billions of nodes that require connecting. Most of these will require only low bandwidth to transfer small amounts of data. Some will also require this to be connected over distances greater than those achievable simply by a transmitter on its own. For many of these applications, the traditional cellular phone systems are too complex to allow for very low power operation, and too costly to be feasible for many small low cost nodes. Focusing on measure of success in communication, the latest present scenario “IoT Network” plays a vital role in the development of  communication between the various modes. in which ,the major controlling of all the operations in any remote smart devices depends upon the network modules. The modules for the communication is preferred based upon the convenient of the smart devices developed. Mainly depends upon the range, Power Consumption Efficiency Losses Dimension-ally distance So,